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Title: A Study on Variable Control of Sound Vibration Form (SVF) for Media Art Creation
Authors: Pang, Yunian
Zhao, Liang  kyouindb  KAKEN_id  orcid (unconfirmed)
Nakatsu, Ryohei
Tosa, Naoko  kyouindb  KAKEN_id
Author's alias: 龐, 宇年
趙, 亮
中津, 良平
土佐, 尚子
Keywords: sound image
high-speed camera
media art
sound vibration form
Issue Date: 2017
Publisher: IEEE
Journal title: 2017 International Conference on Culture and Computing
Start page: 136
End page: 142
Abstract: Media arts created utilizing sound vibration have a big visual impact to audiences. One of the well-known artworks created by one of the authors, Naoko Tosa, is "Sound of Ikebana, " which combined physical phenomenon, sound shape computing, and traditional Japanese flower arrangement culture. The method she used to create the artwork is Sound Vibration Form (SVF), which uses sound vibration as the energy source to let pigment or other materials jump up from speaker, and be shot by a high-speed camera of 2000 frame/sec.In order to create appropriate shapes using SVF, we need to control key parameters such as sound frequency, the shape of sound, paint quantity, paint viscosity, type of materials, etc. We have carried out various experiments of SVF by changing these parameters and have analyzed how the changes of these parameters create various shapes. We believe that SVF could support artists to create high-quality artworks and therefore would become an art creation support tool.
Description: 2017 International Conference on Culture and Computing Culture and Computing 2017, Kyoto, Japan, 10-12 September 2017.
Rights: © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
This is not the published version. Please cite only the published version.
DOI(Published Version): 10.1109/Culture.and.Computing.2017.34
Appears in Collections:Journal Articles

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